A Sieve Bootstrap for the Test of a Unit Root1

نویسندگان

  • Yoosoon Chang
  • Joon Y. Park
چکیده

In this paper, we consider a sieve bootstrap for the test of a unit root in models driven by general linear processes. The given model is ...rst approximated by a ...nite autoregressive integrated process of order increasing with the sample size, and then the method of bootstrap is applied for the approximated autoregression to obtain the critical values for the usual unit root tests. The resulting tests, which may simply be viewed as the bootstrapped versions of Augmented-Dickey-Fuller (ADF) unit root tests by Said and Dickey (1984), are shown to be consistent under very general conditions. The asymptotic validity of the bootstrap ADF unit root tests is thus established. Our conditions are signi...cantly weaker than those used by Said and Dickey. Simulations show that bootstrap provides substantial improvements on ...nite sample sizes of the tests. This version: February, 2001

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Semiparametric Bootstrap Prediction Intervals in time Series

One of the main goals of studying the time series is estimation of prediction interval based on an observed sample path of the process. In recent years, different semiparametric bootstrap methods have been proposed to find the prediction intervals without any assumption of error distribution. In semiparametric bootstrap methods, a linear process is approximated by an autoregressive process. The...

متن کامل

Poisson-Lindley INAR(1) Processes: Some Estimation and Forecasting Methods

This paper focuses on different methods of estimation and forecasting in first-order integer-valued autoregressive processes with Poisson-Lindley (PLINAR(1)) marginal distribution. For this purpose, the parameters of the model are estimated using Whittle, maximum empirical likelihood and sieve bootstrap methods. Moreover, Bayesian and sieve bootstrap forecasting methods are proposed and predict...

متن کامل

An Invariance Principle for Sieve Bootstrap in Time Series

This paper establishes an invariance principle applicable for the asymptotic analysis of sieve bootstrap in time series+ The sieve bootstrap is based on the approximation of a linear process by a finite autoregressive process of order increasing with the sample size, and resampling from the approximated autoregression+ In this context, we prove an invariance principle for the bootstrap samples ...

متن کامل

Sieve Bootstrap for Nonstationary Panel Factor Models

This paper considers bootstrapping nonstationary panel factor models when possible time dependence is present in the factors dynamics. The analysis does not assume any speci…c DGP, and a sieve bootstrap algorithm is proposed to approximate the autocorrelation structure of the processes involved in the model. The conditions under which sieve bootstrap yields consistent estimators and test statis...

متن کامل

SIEVE WALD AND QLR INFERENCES ON SEMI/NONPARAMETRIC CONDITIONAL MOMENT MODELS By

This paper considers inference on functionals of semi/nonparametric conditional moment restrictions with possibly nonsmooth generalized residuals, which include all of the (nonlinear) nonparametric instrumental variables (IV) as special cases. For these models it is often difficult to verify whether a functional is regular (i.e., root-n estimable) or irregular (i.e., slower than root-n estimabl...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001